کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
8866306 1620996 2018 39 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Flood hazard assessment of August 20, 2016 floods in Satna District, Madhya Pradesh, India
ترجمه فارسی عنوان
ارزیابی خطر سیلاب 20 اکتبر سال 2016 سیل در ناحیه ساتنا، مادایا پرادش، هند
موضوعات مرتبط
مهندسی و علوم پایه علوم زمین و سیارات کامپیوتر در علوم زمین
چکیده انگلیسی
Floods are one of the most destructive and land sculpting phenomena around the globe and different aspects of them are being studied at different spatial and temporal scales. Magnitude and frequency of floods, the two important components in flood studies, have been studied with enhanced accuracy and quickness because of commencement and advancement in geospatial technology. Accentuation in the studies of floods and hazardous impacts thereof, at different temporal and spatial scales, have been achieved due to increased temporal and spatial resolution of remotely sensed satellite images. Advancement in computational power has also helped us to perform such analysis quickly. Even after such enhanced capabilities and facilities, flood studies at local levels (village or town) are not very common. Lack of such studies poses a serious challenge to hydrologists, climate scientists, geoscientists, planners and policy makers. The present work proceeds to achieve twofold objectives to ease the challenge faced: 1) to assess the flood hazard of August 20, 2016 flood event of Satna district of Madhya Pradesh at village/town level; and 2) to devise a flood hazard index (FHI) using linear combination of only two parameters i.e. flooded area and qualitative turbidity. The flooded areas have been derived from Landsat 8 OLI-TIRS image of August 20, 2016 using tasseled cap wetness index and modified normalised difference water index (MNDWI). The values of MNDWI have been taken as a proxy for qualitative turbidity. Association of FHI with flood-affected arable land and built-up area is positive and statistically significant at 0.01 level that justified the method of FHI computation. As compared to the four parameters-based FHI, devised by Kumar (2016), this study found that the FHI computed with only two parameters is also effective, easy to compute and this approach may be tested in other flood-affected parts of the globe.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Remote Sensing Applications: Society and Environment - Volume 11, August 2018, Pages 104-118
نویسندگان
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